{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:46:13Z","timestamp":1776811573429,"version":"3.51.2"},"reference-count":24,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,12,19]]},"abstract":"<jats:p>Insulator determines the insulation level and power supply reliability of transmission lines. The traditional operation and maintenance method of insulators has a large workload. This paper presents an insulator recognition and fault diagnosis system based on image recognition and machine learning. Firstly, the composite insulators in complex backgrounds have been identified by Faster RCNN algorithm, which helps to extract the image of insulators by drone shot. Then, the cracking of umbrella skirts has been carried out by means of image processing. Also, the contamination of composite insulator umbrella skirts is also identified. The appropriate feature quantity by Fisher\u2019s discrimination is recommended, and the insulator contamination level has been identified by S component. Lastly, analyzing the infrared image of the insulator provides the basis for the normalization of insulator temperature rise detection results in different environments. Insulator image autonomous recognition and defect intelligent detection, which is based on deep reinforcement learning, is helpful for the operation, maintenance and repair of line insulators.<\/jats:p>","DOI":"10.3233\/jcm-226224","type":"journal-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T11:40:16Z","timestamp":1660650016000},"page":"2359-2374","source":"Crossref","is-referenced-by-count":5,"title":["Insulator image autonomous recognition and defect intelligent detection based on multispectral image"],"prefix":"10.66113","volume":"22","author":[{"given":"Zixiang","family":"Wei","sequence":"first","affiliation":[{"name":"Xi\u2019an Jiaotong-Liverpool University, Suzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjun","family":"Hao","sequence":"additional","affiliation":[{"name":"Xi\u2019an Chuangyi Information Technology Co., Ltd., Xi\u2019an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"4","key":"10.3233\/JCM-226224_ref1","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1109\/TDEI.2006.1667741","article-title":"Hydrophobicity transfer from silicone rubber to adhering pollutants and its effect on insulator performance","volume":"13","author":"Swift","year":"2006","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"2","key":"10.3233\/JCM-226224_ref2","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1109\/TDEI.2010.5448091","article-title":"Electrical and material characterization of field-aged 400 kV silicone rubber composite insulators","volume":"17","author":"Rowland","year":"2010","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"6","key":"10.3233\/JCM-226224_ref3","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1109\/TDEI.2007.4401217","article-title":"Flashover performance of pre-contaminated and ice-covered composite insulators to be used in 1000\u00a0kV UHV ac transmission lines","volume":"14","author":"Hu","year":"2007","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"6","key":"10.3233\/JCM-226224_ref4","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1109\/TDEI.2011.6118636","article-title":"AC and DC zone-induced ageing of HTV silicone rubber","volume":"18","author":"Ma","year":"2011","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"2","key":"10.3233\/JCM-226224_ref5","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1109\/TDEI.2010.5448085","article-title":"Ageing of silicone rubber insulators in coastal and inland tropical environment","volume":"17","author":"Fernando","year":"2010","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"6","key":"10.3233\/JCM-226224_ref6","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1109\/TDEI.2012.6396971","article-title":"Investigation and classification of field leakage current waveforms","volume":"19","author":"Dionisios","year":"2012","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"issue":"6","key":"10.3233\/JCM-226224_ref7","doi-asserted-by":"crossref","first-page":"2611","DOI":"10.1109\/TDEI.2014.004523","article-title":"Using a pattern recognition-based technique to assess the hydrophobicity class of silicone rubber materials","volume":"21","author":"Ibrahim","year":"2014","journal-title":"IEEE Transactions on Dielectrics and Electrical Insulation."},{"key":"10.3233\/JCM-226224_ref8","doi-asserted-by":"crossref","unstructured":"Wang X, Zhang Y. 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